When we are going to do an investigation and we need to collect data, we have to know the techniques we will use to be prepared. For this reason, there are two types of sampling: the random or probabilistic sample and the non-probabilistic one. In this case, we will talk in-depth about non-probability selection. Keep reading!
What is non-probability sampling?
Definition: Non-probability sampling is a technique in which the researcher selects samples based on the subjective judgment of the researcher rather than random selection. It is a less stringent method. This sampling method depends heavily on the expertise of the researchers. It is carried out by observation, and researchers use it widely for qualitative research.
Non-probability sampling is a method in which not all population members have an equal chance of participating in the study, unlike probability sampling. Each member of the population has a known case of being selected. Non-probability sampling is most useful for exploratory studies like a pilot survey (deploying a survey to a smaller sample than a pre-determined sample size). Researchers use this method in studies where it is impossible to draw random probability sampling due to time or cost considerations.
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